Deformable registration of tumor-diseased brain images

Tianming Liu, Dinggang Shen, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper presents an approach for deformable registration of a normal brain atlas to visible anatomic structures in a tumor-diseased brain image. We restrict our attention to cortical surfaces. First, a model surface in the atlas is warped to the tumor-diseased brain image via a HAMMER-based volumetric registration algorithm. However, the volumetric warping is generally inaccurate around the tumor region, due to the lack of reliable features to which the atlas can be matched. Therefore, the model structures for which no reliable matches are found are labeled by a Markov Random Field-Maximum A Posteriori approach. A statistically-based interpolation method is then used to correct/refine the volumetric warping for those structures. Finally, with the good initialization obtained by the above steps and the identification of the part of the model anatomy that can be recognized in the patient's image, the model surface is adaptively warped to its counterpart that is visible in the tumor-diseased brain image through a surface registration procedure. Preliminary results show good performance on both simulated and real tumor-diseased brain images.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
EditorsC. Barillot, D.R. Haynor, P. Hellier
Number of pages9
EditionPART 1
Publication statusPublished - 2004
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: Sep 26 2004Sep 29 2004


OtherMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings


ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Liu, T., Shen, D., & Davatzikos, C. (2004). Deformable registration of tumor-diseased brain images. In C. Barillot, D. R. Haynor, & P. Hellier (Eds.), Lecture Notes in Computer Science (PART 1 ed., Vol. 3216, pp. 720-728)